Enabling Legal AI with Context-Based LLM Guardrails
Any model. Same legal guardrails.
Deploy legal AI with guardrails against fabricated citations, privilege exposure, and access leaks. Switch AI models without rebuilding your controls.
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Legal AI is Riddled with LoopHoles
AI has transformed legal work, speeding up research, drafting, and review. The same tools can invent case law and state it confidently, and courts have sanctioned lawyers who filed those citations without checking them.
Legal AI Should Not Lock You In
When a firm's AI is tied to a single provider and its controls sit inside that provider's stack, several risks follow. Models are also evolving constantly. A model that leads today can be overtaken by competitors within weeks.
Model lock-in
The model that suits a matter today may not suit it next year. Your controls should survive a model change.
Privilege exposure
Privileged material sent to a consumer AI tool can lose its protection. Controls need to apply before any prompt leaves the firm.
Gaps in the audit trail
Without a record of prompts, policy decisions, and model versions, a firm cannot show how AI shaped its advice.
Supercharge Legal AI by Switching to WalledAI
WalledAI puts governance between your lawyers and any AI model. It brings screening, data protection, access controls, and audit trails together in one platform, so firms can adopt any model without rebuilding their governance.
Put AI to Work on Every Matter
Firms use AI across research, drafting, and review. WalledAI lets each use case run under the same controls.
Count on Legal Controls that Carry Over
With WalledAI, policy and compliance controls sit in the governance layer, not inside any one AI model. Choose the model that fits each matter, and the same policies, masking, access rules, and audit records apply.
- Policies travel with the platformConfidentiality, masking, and access rules apply whichever model handles the request.
- Matter restrictions holdEthical walls and matter-level access stay in force when a team changes models partway through a matter.
- One audit record across modelsEach interaction is logged with the model used, so the record stays complete as models change.
Mask Confidential Client Data Before It Reaches LLMs
Walled Redact detects sensitive information in prompts and documents, and it can mask content in legal documents before any model sees it. Sensitive values are replaced with placeholder tokens. The model only sees the masked version, and the response is restored before it reaches the lawyer.
Without WalledAI
Lawyer prompt
Client names, counterparty, deal figures, and privileged notes in one request.
"Summarize the Acme Corp deal for Jane Smith: a $2.4M purchase price, matter #4481, and our privileged strategy notes."LLM
Processes the real names and figures.
"Summarize the Acme Corp deal for Jane Smith: a $2.4M purchase price, matter #4481, and our privileged strategy notes."Response
Returns the client data in the output, with no governed record of what was shared.
"Summarize the Acme Corp deal for Jane Smith: a $2.4M purchase price, matter #4481, and our privileged strategy notes."With WalledAI
Lawyer prompt
The same request, with the same details.
"Summarize the Acme Corp deal for Jane Smith: a $2.4M purchase price, matter #4481, and our privileged strategy notes."Masking
Names and figures replaced with placeholder tokens.
"Summarize the [ORG_1] deal for [PERSON_1]: a [AMOUNT_1] purchase price, matter [ID_1], and our privileged strategy notes."Any approved LLM
Receives only the masked prompt.
"Summarize the [ORG_1] deal for [PERSON_1]: a [AMOUNT_1] purchase price, matter [ID_1], and our privileged strategy notes."Unmasking and audit
Real values restored for the lawyer, and the interaction logged.
"Summarize the Acme Corp deal for Jane Smith: a $2.4M purchase price, matter #4481, and our privileged strategy notes."Block Off-Scope Use and Other AI Security Concerns
Walled Protect screens prompts and responses before they reach any model. It stops injected instructions and keeps each AI tool to its approved purpose.
Catch Costly Hallucinations Before the Damage is Done
One invented citation can bring sanctions, disqualification, and lost client trust. Walled Correct checks every AI response against your own sources, and holds back anything it cannot verify.
1
Stop it at the source
Every response passes through the validation layer before it reaches the user.
2
Verify every claim
Citations and factual claims are checked against your knowledge bases and verified sources.
3
Score the risk
Each response gets a confidence score, with thresholds set for the stakes of each use case.
4
Block or escalate
Unverified answers are blocked or sent to a person before anything is delivered.
Comply with AI Regulations Around the Globe
WalledAI enabled compliance AI for law firms with predefined policies mapped to the regulations your firm already answers to, so enforcement is in place from day one. Firm-specific rules can be layered on top.
United States
European Union
Asia-Pacific
And a Host of Other Controls that Matter
Control who can reach which models and matters, see every interaction, and deploy in the environment your firm requires.
Enterprise RBAC
Sets which models, data classes, and matters each user or role can reach. Ethical walls and matter-level access are enforced in every interaction.
Governance Dashboard
Records every interaction with the policy applied and the outcome, giving you a legal AI audit trail. Reports roll up into compliance and audit views that show how AI was governed.
Deployment
Run WalledAI in the environment your firm requires, including on-premises options. Data residency is set by your deployment.
Let's Make Legal AI Safe to Scale
Book a demo and see how WalledAI governs any AI model your firm uses.
Book Your Free Enterprise PilotLearn More about Legal AI Governance
You May Also Like
Walled Protect
→Stop prompt injection, jailbreaks, and unauthorized AI use before they reach a model.
Walled Redact
→Mask client and matter data before it reaches any AI model.
Walled Correct
→Verify AI responses against your own sources before they are delivered.
Enterprise RBAC
→Control which users and roles can reach which models, data, and matters.
Governance Dashboard
→Record every interaction and roll it up into compliance and audit views.
Shadow AI Detection
→Find AI tools in use that the firm has not approved.
Frequently Asked Questions
Does legal AI retain or train on my prompts or client documents?
No. WalledAI does not use customer data to train any model. Client documents are masked before they reach a model.
Can we switch AI models without losing our controls?
Yes. Policies, masking, access rules, and audit records apply whichever model handles a request, so you can change models without rebuilding governance.
What audit trail do law firms need?
A complete record shows who asked, what was sent, which policies applied, which model responded, and what was delivered. WalledAI keeps that record for every interaction.
How do firms stop AI from citing cases that do not exist?
Walled Correct checks citations and claims against your own sources and holds back anything it cannot verify. Uncertain answers are flagged for human review.
Show all FAQsShow fewer questions
How do ethical walls work with AI?
Enterprise RBAC enforces ethical walls and matter-level access in every interaction, so teams cannot reach matters they are walled off from.
Can client data be masked before it reaches a model?
Yes. Walled Redact replaces names and figures with placeholder tokens before a prompt reaches a model, then restores them in the response.
How do legal teams ensure secure AI access to confidential documents?
Access follows each user's role and matter assignments, so only the lawyers cleared for a matter can reach its documents through AI. Walled Redact also masks client details before a prompt reaches a model.
What makes an AI-assisted legal workflow auditable?
Every step needs a record: the prompt, the policy decision, the masking applied, the model used, and the response. WalledAI links these into one record for each interaction.
How do law firms audit attorney AI usage?
Usage is logged by user, matter, and model, and the Governance Dashboard rolls those records into reports for compliance and audit reviews.
Which legal AI tools support ethical walls and matter level segregation?
Enterprise RBAC enforces ethical walls and matter-level access in every interaction, so teams cannot reach matters they are walled off from.
What are the risks of using AI for legal drafting?
The main risks are fabricated citations, confidential client data leaving the firm, and unrecorded AI use. Walled Correct, Walled Redact, and the audit trail address each of these.
How can legal teams use AI for compliance reviews?
Teams can check documents and AI-assisted advice against the regulations that apply to them. WalledAI maps its policies to rules such as GDPR, HIPAA, and the EU AI Act.
Which AI is safest for privileged legal documents?
No model is safe by default. Safety comes from the controls around the model: masking privileged content before a prompt is sent, enforcing access rules, and keeping a complete record of each interaction.
How do law firms govern AI rollout across practice groups?
Start with one policy set that applies to every practice group, then set access by role and matter. The Governance Dashboard shows usage and policy events across groups.
What AI audit trails do law firms require?
A complete audit trail records who asked, what was sent, which policies applied, which model responded, and what was delivered.
Which platforms let law firms reuse their own precedent without exposing client documents?
Precedent can be reused with client names, figures, and identifiers masked by Walled Redact, so the model works from the clause rather than the client file.
Can AI automate law firm security audits?
AI can gather and organize audit evidence, but the firm's reviewers still sign off. WalledAI produces evidence packages for internal audits and client security reviews.
How to evaluate user governance and access controls in legal software?
Check whether access follows roles and matters, whether ethical walls apply to every interaction, whether changes are logged, and whether audit records can be exported.
Is there a best AI for legal help?
No single model is best for every legal task. Teams often use several, such as Claude, GPT, or Gemini for drafting and analysis, and open-weight models where data must stay on premises. WalledAI applies the same guardrails, masking, access rules, and audit trail to every model, so the firm can choose the right one for each task.